Data Manager Senior - Retail Data Product Design

Position Overview

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Manager Senior within PNC's Data Product organization, you will be based in Cincinnati, OH;
Pittsburgh, PA, Denver, CO, Dallas, TX or Philadelphia, PA.

Responsibilities include:

Design reusable and AI-ready data products aligned to the organizational structure of retail-banking portfolios and associated process families

Define and lead the vision, strategy, and roadmap for reusable, AI‑ready retail banking data products that support consumer and small‑business banking.

Align data product investments to enterprise priorities including personalization, automation, responsible AI, and digital transformation.

Translate business capabilities into modular data products (datasets, features, semantic layers, APIs) designed for repeated use across channels and use cases.

PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

Job Description

* Manages all aspects of organizational data; establishes and maintains policies and procedures for planning, designing and maintaining an information bank to ensure that data services are delivered in a high-quality and profitable manner.

* Provides senior leadership, direction and methodology for analysis, structure and storage of critical organizational data.

* Oversees the integrity and maintenance of organizational data.

* Monitors and reviews major organizational activities and goals to ensure important data needs are anticipated, and met.

* Reviews and recommends policies and procedures for collecting and managing organization data.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

* Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.

* Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

PNC also has fundamental expectations of our people managers. As a manager of talent in PNC, you will be expected to:

* Include Intentionally - Cultivates diverse teams and inclusive workplaces to expand thinking.

* Live the Values - Role models our values with transparency and courage.

* Enable Change - Takes action to drive change and innovation that will transform our business.

* Achieve Results - Takes personal ownership to deliver results. Empowers and trusts others in decision making.

* Develop the Best - Raises the bar with every talent decision and guides the achievement of all employees and customers.

Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred Skills

Analytical Thinking, Competitive Advantages, Data Analytics, Data Designing, Data Mining, Data Science, Machine Learning (ML)

Competencies

Business Intelligence, Data Administration, Data Architecture, Data Governance, Data Warehousing, Information Management, IT Standards, Procedures & Policies, Modeling:
Data, Process, Events, Objects, Root Cause Analysis (RCA)

Work Experience

Roles at this level typically require a university / college degree. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry experience is…